We quantify the contribution of active material and active lithium loss on the overall capacity fade with the DVA fitting algorithm described by Fath et al. [1]} based on the C/10 discharge.
The algorithm relies on changes in the cell's voltage curve \(U_\text{0,cell}=U_\text{0,cath}-U_\text{0,an}\)  relative to the begin of life (BoL).
Loss of active material on the anode and cathode side stints the electrode potential curves \(U_\text{0,cath}\)  and \(U_\text{0,an}\) , respectively. In contrast, loss of lithium inventory, e.g. stemming from SEI growth or lithium plating, shifts the anode's vs. the cathode's potential curve [2]}, [3]}, [1]}.
Additionally, the algorithm captures inhomogeneous aging by fitting a linear distribution of seven differently aged segments to the overall DVA curve [5]}, [6]}.
